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Content archived on 2024-06-20

Molecular Recognition for Diagnosis and Therapy

Objective

A network of research groups at the neighbouring Delft University of Technology and the Erasmus University (Rotterdam) offers training for early stage researchers through a project on the development of:
(i) a group of effective and specific contrast agents for medical diagnostic techniques, including MRI (Magnetic Resonance Imaging), PET (Positron Emitting Tomography) and SPECT (Single Photon Emission Computed Tomography) and
(ii) similar compounds that can be used for therapy.

The specificity of both classes of compounds will be optimised by utilising molecular recognition for the accumulation of the diagnostic or therapeutic drugs concerned in the region of interest. A modular approach will be used in the design of the compounds. Consequently, an easy exchange of modules will allow optimal exploitation of them.
Furthermore, this will stimulate the contacts among workers in the various disciplines and exchange of ideas. The consortium covers the development of targeting diagnostic and therapeutic drugs from the design to the (pre)-clinical stage.

Five early stage researchers will be hosted for a period of three years. In addition, the hosting groups will offer the opportunity for more specific training via 6 shorter stays (6 months each). The training programmes will be complemented by a lecture course "Metals in Medicine" that will be given by specialists of the research groups concerned every second year. This will ensure that the fellows will be trained in a broad range of disciplines (organic synthesis, coordination chemistry, nanoparticles, radiochemistry, nuclear medicine) and that they will meet a variety of techniques. This highly multidisciplinary training programme will deliver scientists with a broad knowledge base.
Therefore, these scientists will be well-prepared for a research career in industry and academia.

Call for proposal

FP6-2002-MOBILITY-2
See other projects for this call

Coordinator

TECHNISCHE UNIVERSITEIT DELFT
EU contribution
No data